Observed mobility behavior data reveal social distancing inertia
Sepehr Ghader, Jun Zhao, Minha Lee, Weiyi Zhou, Guangchen Zhao, Lei, Zhang

TL;DR
This study uncovers a universal social distancing inertia during COVID-19, where voluntary behavioral improvements plateau despite rising cases, indicating natural limits to social distancing efforts across the U.S.
Contribution
It reveals the existence of social distancing inertia and its universal, synchronized nature across all U.S. states using integrated mobility and COVID-19 data.
Findings
Social distancing statistics improve initially after case emergence
Improvements plateau after about two weeks despite rising cases
Inertia phenomenon is consistent across all U.S. states
Abstract
The research team has utilized an integrated dataset, consisting of anonymized location data, COVID-19 case data, and census population information, to study the impact of COVID-19 on human mobility. The study revealed that statistics related to social distancing, namely trip rate, miles traveled per person, and percentage of population staying at home have all showed an unexpected trend, which we named social distancing inertia. The trends showed that as soon as COVID-19 cases were observed, the statistics started improving, regardless of government actions. This suggests that a portion of population who could and were willing to practice social distancing voluntarily and naturally reacted to the emergence of COVID-19 cases. However, after about two weeks, the statistics saturated and stopped improving, despite the continuous rise in COVID-19 cases. The study suggests that there is a…
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Taxonomy
TopicsHuman Mobility and Location-Based Analysis · COVID-19 epidemiological studies · Data-Driven Disease Surveillance
